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2017 GTC San Jose

S7715 - Learning Visual Servoing with Deep Features and Fitted Q-Iteration

Session Speakers
Session Description

Visual servoing involves choosing actions that move a robot in response to observations from a camera, in order to reach a goal configuration in the world. We'll discuss how learned visual features, learned predictive dynamics models, and reinforcement learning can be combined to learn visual servoing mechanisms.


Additional Session Information
Intermediate
Talk
Computer Vision and Machine Vision Deep Learning and AI Intelligent Machines and IoT
Higher Education / Research
25 minutes
Session Schedule